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Greening the Economy: Sustainable Cities
Introduction to Graphic Illustration
Computational Social Science Methods
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Explore NLP techniques for scenarios without pre-labeled datasets. Learn strategies for dataset creation, annotation, augmentation, and transfer learning in real-world NLP applications.
Explore cardiometabolic disease trends in Canada, analyzing data patterns and implications for public health strategies and interventions.
Explore interpretable machine learning models that are self-explanatory, focusing on making complex neural networks more transparent and understandable for critical applications.
Explore data shift principles, detection strategies, and adaptation techniques in machine learning for dynamic environments. Practice hands-on with advanced topics to enhance model performance.
Explore cutting-edge neural methods for semantic search, improving text search quality with pre-trained transformer networks and advanced deployment techniques.
Explore how Digits applies transformer models to extract structured information from unstructured financial data and deploys ML experiments in production using TensorFlow.
Explore AI applications in digital pathology, revolutionizing disease diagnosis and treatment through advanced image analysis and machine learning techniques.
Explore feature store best practices in fintech, covering versioning, automation, visualization, and efficiency improvements. Includes demo.
Explore the future of AI processing beyond traditional CPUs and GPUs, focusing on innovative architectures designed for demanding ML workloads in retail and beyond.
Explore ethical AI design principles and learn to create purposeful, responsible machine learning systems for real-world applications.
Explore ML model governance in finance through insights from 66 global institutions, focusing on key practices and regulatory considerations.
Explore AI-driven economic policy design using deep reinforcement learning and simulations. Learn how AI can improve equality, productivity, and public health outcomes in complex socio-economic challenges.
Explore adversarial methods, multi-task learning, and the effectiveness of fine-tuning large language models on small datasets in NLP. Gain insights into improving pre-trained representations.
Explore retail AI demand prediction models, KPIs, and implementation strategies for effective business use cases in the retail industry.
Explore advanced techniques for detecting AI-generated misinformation using multimedia knowledge extraction and graph neural networks. Gain insights into fine-grained falsified information analysis.
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